Kianpoor Somayeh, Ehsani Alireza, Torshizi Rasoul Vaez, Masoudi Ali Akbar, Bakhtiarizadeh Mohammad Reza
Department of Animal Science, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran.
Department of Animal and Poultry Science, College of Aburaihan, University of Tehran, Tehran, Iran.
BMC Genomics. 2025 Apr 3;26(1):337. doi: 10.1186/s12864-025-11538-5.
The poultry immune system is essential for protecting against infectious diseases and maintaining health and productivity. Cell-mediated immune responses (CMIs) protect organisms against intracellular pathogens. This study aimed to enrich the findings of genome-wide association studies (GWAS) by including several systematic gene set enrichment analyses (GSEA) related to cell-mediated immune responses in chickens.
To investigate the function of the cellular immune system, phenotypic data were collected based on the differences in skin thickness before and after impregnation with dinitrochlorobenzene (DNCB) solution. Additionally, 312 hybrid birds of the F2 generation of Arian broiler chickens and Urmia native chickens were genotyped using the Illumina 60k SNP BeadChip. A general linear model (GLM) with an FDR < 5% was used for the association analysis. Functional enrichment analysis of the identified candidate genes was performed using the Enrichr database. A protein‒protein interaction (PPI) network was constructed using the STRING database. In addition, colocalization analysis was applied to identify QTLs related to the immune system.
GWAS revealed 147 SNPs associated with the CMI trait, which were related to 1363 genes. These genes were significantly enriched in eight KEGG pathways, 22 Reactome pathways, and 18 biological processes. PPI network analysis led to the identification of 26 hub genes. The three hub genes PSMA3, PSMC2 and PSMB4 were enriched in almost all pathways related to cellular immunity, including the proteasome, interleukin-1 signaling, and programmed cell death pathways, which makes them important candidates involved in CMI. In addition, the MAP3K8, NLRC5, UBB, CASP6, DAPK2, TNFRSF6B, TNFSF15, and PIK3CD genes were identified as key genes in several functional pathways. A total of 10 SNPs were found in interferon-gamma QTLs, and two SNPs were found in the cell-mediated immune response QTL region, leading to the identification of 12 cellular immune response-related genes that were reported as important candidates in previous studies.
The post-GWAS analysis in this study led to the identification of key genes that regulate the biological processes of cellular immunity in chickens. Therefore, selecting birds that excel in expressing such genes can improve immunity in chickens.
家禽免疫系统对于抵御传染病、维持健康和生产力至关重要。细胞介导的免疫反应(CMIs)可保护机体免受细胞内病原体的侵害。本研究旨在通过纳入多项与鸡细胞介导免疫反应相关的系统基因集富集分析(GSEA)来丰富全基因组关联研究(GWAS)的结果。
为研究细胞免疫系统的功能,基于二硝基氯苯(DNCB)溶液浸渍前后皮肤厚度的差异收集表型数据。此外,使用Illumina 60k SNP BeadChip对312只阿利安肉鸡和乌尔米亚本地鸡F2代的杂交鸡进行基因分型。采用错误发现率(FDR)<5%的一般线性模型(GLM)进行关联分析。使用Enrichr数据库对鉴定出的候选基因进行功能富集分析。使用STRING数据库构建蛋白质-蛋白质相互作用(PPI)网络。此外,应用共定位分析来鉴定与免疫系统相关的数量性状基因座(QTL)。
GWAS揭示了147个与CMI性状相关的单核苷酸多态性(SNP),这些SNP与1363个基因相关。这些基因在8条京都基因与基因组百科全书(KEGG)通路、22条Reactome通路和18个生物学过程中显著富集。PPI网络分析鉴定出26个枢纽基因。三个枢纽基因PSMA3、PSMC2和PSMB4在几乎所有与细胞免疫相关的通路中均有富集,包括蛋白酶体、白细胞介素-1信号传导和程序性细胞死亡通路,这使它们成为参与CMI的重要候选基因。此外,MAP3K8、NLRC5、UBB、CASP6、DAPK2、TNFRSF6B、TNFSF15和PIK3CD基因被确定为几个功能通路中的关键基因。在干扰素-γ QTL中总共发现了10个SNP,在细胞介导免疫反应QTL区域发现了2个SNP,从而鉴定出12个与细胞免疫反应相关的基因,这些基因在先前的研究中被报道为重要候选基因。
本研究的GWAS后分析鉴定出了调节鸡细胞免疫生物学过程的关键基因。因此,选择在表达此类基因方面表现出色的鸡可以提高鸡的免疫力。